K. N. Uma

679 total citations
44 papers, 506 citations indexed

About

K. N. Uma is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, K. N. Uma has authored 44 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 18 papers in Astronomy and Astrophysics. Recurrent topics in K. N. Uma's work include Atmospheric Ozone and Climate (24 papers), Meteorological Phenomena and Simulations (22 papers) and Climate variability and models (20 papers). K. N. Uma is often cited by papers focused on Atmospheric Ozone and Climate (24 papers), Meteorological Phenomena and Simulations (22 papers) and Climate variability and models (20 papers). K. N. Uma collaborates with scholars based in India, Japan and Sweden. K. N. Uma's co-authors include Siddarth Shankar Das, Subrata Kumar Das, T. Narayana Rao, Karanam Kishore Kumar, M. Venkat Ratnam, T. Satyanarayana, S. Sijikumar, D. Narayana Rao, K. V. Subrahmanyam and S. Fukao and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Scientific Reports.

In The Last Decade

K. N. Uma

39 papers receiving 495 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. N. Uma India 15 467 362 136 51 24 44 506
Annelize van Niekerk United Kingdom 13 324 0.7× 255 0.7× 127 0.9× 73 1.4× 17 0.7× 18 375
Siddarth Shankar Das India 16 540 1.2× 386 1.1× 227 1.7× 52 1.0× 27 1.1× 54 602
Alison W. Grimsdell United States 11 454 1.0× 290 0.8× 244 1.8× 65 1.3× 95 4.0× 16 517
Timothy R. Whitcomb United States 6 315 0.7× 197 0.5× 143 1.1× 168 3.3× 11 0.5× 8 411
T. G. Shepherd Canada 11 1.0k 2.2× 913 2.5× 154 1.1× 74 1.5× 11 0.5× 21 1.1k
K. Satheesan India 15 477 1.0× 339 0.9× 202 1.5× 123 2.4× 34 1.4× 55 585
Kevin C. Viner United States 4 315 0.7× 194 0.5× 143 1.1× 165 3.2× 8 0.3× 8 403
E. Pavelin United Kingdom 13 510 1.1× 432 1.2× 103 0.8× 34 0.7× 38 1.6× 14 554
William J. M. Seviour United Kingdom 17 693 1.5× 652 1.8× 156 1.1× 112 2.2× 8 0.3× 39 822
K. V. Subrahmanyam India 13 392 0.8× 296 0.8× 156 1.1× 42 0.8× 30 1.3× 51 463

Countries citing papers authored by K. N. Uma

Since Specialization
Citations

This map shows the geographic impact of K. N. Uma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by K. N. Uma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. N. Uma more than expected).

Fields of papers citing papers by K. N. Uma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. N. Uma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by K. N. Uma. The network helps show where K. N. Uma may publish in the future.

Co-authorship network of co-authors of K. N. Uma

This figure shows the co-authorship network connecting the top 25 collaborators of K. N. Uma. A scholar is included among the top collaborators of K. N. Uma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. N. Uma. K. N. Uma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Uma, K. N., et al.. (2024). CO2 variability over a tropical coastal station in India: Synergy of observation and model. The Science of The Total Environment. 957. 177371–177371.
2.
3.
Uma, K. N., et al.. (2024). Assessment of ISRO’s S-band polarimetric Doppler Weather Radar (DWR) at SHAR with IMD-DWR and GPM-Ku radar. International Journal of Remote Sensing. 45(18). 6157–6178.
4.
Uma, K. N., et al.. (2023). Vertical structure of North Indian Ocean tropical cyclones: A composite analysis using TRMM and GPM. Dynamics of Atmospheres and Oceans. 105. 101421–101421. 3 indexed citations
5.
Krishna, U. Murali, Subrata Kumar Das, K. N. Uma, Abhishek Jha, & G. Pandithurai. (2022). Dynamical links of convective storms associated with tropospheric biennial oscillation in the Indian monsoon regime. Scientific Reports. 12(1). 12050–12050.
6.
Uma, K. N., et al.. (2021). Assessment of vertical air motion among reanalyses and qualitative comparison with very-high-frequency radar measurements over two tropical stations. Atmospheric chemistry and physics. 21(3). 2083–2103. 15 indexed citations
7.
8.
Das, Subrata Kumar, et al.. (2020). Characteristics of temperature inversion from radiosonde measurements in the Western Ghats region. Atmospheric Research. 250. 105391–105391. 10 indexed citations
9.
Krishna, U. Murali, Subrata Kumar Das, K. N. Uma, & G. Pandithurai. (2019). Retrieval of convective available potential energy from INSAT-3D measurements: comparison with radiosonde data and their spatial–temporal variations. Atmospheric measurement techniques. 12(2). 777–790. 11 indexed citations
10.
Uma, K. N. & Subrata Kumar Das. (2017). Do the stability indices indicate the formation of deep convection?. Meteorology and Atmospheric Physics. 131(1). 1–10. 21 indexed citations
11.
Das, Siddarth Shankar, M. Venkat Ratnam, K. N. Uma, et al.. (2016). Influence of tropical cyclones on tropospheric ozone: possible implications. Atmospheric chemistry and physics. 16(8). 4837–4847. 29 indexed citations
12.
Das, Subrata Kumar, et al.. (2016). Clouds vertical properties over the Northern Hemisphere monsoon regions from CloudSat-CALIPSO measurements. Atmospheric Research. 183. 73–83. 32 indexed citations
13.
Raju, C. Suresh, et al.. (2013). MT-MADRAS Brightness Temperature analysis for Terrain Characterization and Land Surface Microwave Emissivity Estimation. Current Science. 104(12). 1643–1649. 6 indexed citations
14.
Uma, K. N., Subrata Kumar Das, Siddarth Shankar Das, & Karanam Kishore Kumar. (2013). Aura-MLS Observations of Water Vapor Entering the Stratosphere over the Northern Bay of Bengal and East Equatorial Indian Ocean. Terrestrial Atmospheric and Oceanic Sciences. 24(3). 357–357. 10 indexed citations
15.
16.
Das, Siddarth Shankar, K. N. Uma, & Subrata Kumar Das. (2012). MST radar observations of short‐period gravity wave during overhead tropical cyclone. Radio Science. 47(2). 18 indexed citations
17.
Uma, K. N., Karanam Kishore Kumar, & T. Narayana Rao. (2011). VHF radar observed characteristics of convectively generated gravity waves during wet and dry spells of Indian summer monsoon. Journal of Atmospheric and Solar-Terrestrial Physics. 73(7-8). 815–824. 14 indexed citations
18.
Das, Siddarth Shankar, S. Sijikumar, & K. N. Uma. (2011). Further investigation on stratospheric air intrusion into the troposphere during the episode of tropical cyclone: Numerical simulation and MST radar observations. Atmospheric Research. 101(4). 928–937. 14 indexed citations
19.
Das, Siddarth Shankar, Apurna Ghosh, K. Satheesan, Amit Jain, & K. N. Uma. (2010). Characteristics of atmospheric turbulence in terms of background atmospheric parameters inferred using MST radar at Gadanki (13.5°N, 79.2°E). Radio Science. 45(4). n/a–n/a. 13 indexed citations
20.
Rao, T. Narayana, K. N. Uma, & S. Fukao. (2008). Understanding the transportation process of tropospheric air entering the stratosphere from direct vertical air motion measurements over Gadanki and Kototabang. Geophysical Research Letters. 35(15). 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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